Machine Learning Engineer Graduate

Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (BS/MS) Location: San Jose Team: Technology Employment Type: Regular Job Code: A A Responsibilities Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. Collaborate with multidisciplinary teams to enhance current automation processes. Build efficient data querying infrastructure for real‑time and offline analysis. Identify opportunities to strengthen risk defense solutions. Define risk control metrics and promote data‑driven practices. Align teams and stakeholders on numeric goals for risk control. Document technical processes and effectively communicate results through writing, visualizations, and presentations. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Qualifications Minimum Qualifications Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields. Final year or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline. Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi‑task learning, reinforcement learning, graph theory, and unsupervised learning. Experience with Python, SQL/Hive, and Hadoop. Strong understanding of data structures and algorithms, with excellent problem‑solving ability. Detail oriented, effective time management, and strong analytical skills. Preferred Qualifications Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. Internship experience or research experience, especially in e‑commerce, risk control domain. Curiosity towards new technologies and entrepreneurship. High levels of creativity and quick problem‑solving capabilities. Job Information The base salary range for this position in the selected city is $118,658 - $177,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. Eligibility for Candidates in Los Angeles County (unincorporated) Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; Exercising sound judgment. #J-18808-Ljbffr